Agent skill

Localseodata Tool

by garrettjsmith in garrettjsmith/localseoskills

When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…

MITAuto-check passedMarketing & SEO

Install Localseodata Tool

skills CLI
$ npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install garrettjsmith/localseoskills localseodata-tool --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/garrettjsmith/localseoskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/localseodata-tool .claude/skills/localseodata-tool && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
localseodata-tool
GitHub stars
120
Token cost
~4.1k tokens
SKILL.md length
1,718 words
Files
1
Skills in repo
38
Repo updated
First seen
Licence
MIT

At a glance

When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…

  • Works in 6 steps: local_audit — overall picture (50 credits) → business_profile — GBP details (2… → citation_audit — NAP consistency (50… → …
  • Wants to pull local SEO data — SERP results
  • SKILL.md covers When to Use LocalSEOData vs…, Location Resolution, Core Workflows and Credit Cost Reference, plus 2 more sections
  • Reaches mcp.localseodata.com and localseodata.com

What it does

Localseodata Tool is an agent skill from garrettjsmith/localseoskills. When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence. This is the DEFAULT data tool for LocalSEOSkills. Trigger on any data request before considering other tools. Also trigger on "LocalSEOData," "LSD," "run an audit," "check my rankings," "pull reviews," "citation check," "keyword opportunities," "AI visibility," or "geogrid scan."

Its SKILL.md is about 4.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Marketing & SEO, covering Local SEO, AI search optimization and Citation management. It works with Model Context Protocol. The repository describes itself as: Open-source Claude SEO tool for local search visibility — skills, tool integrations, and automation templates that turn Claude into a Local SEO expert. The licence is MIT.

When your agent uses it

  • Wants to pull local SEO data — SERP results
  • Local pack rankings
  • Business profile data
  • Keyword research

Example prompts

  • “LocalSEOData,”
  • “run an audit,”
  • “check my rankings,”
  • “/localseodata-tool”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. local_audit — overall picture (50 credits)
  2. business_profile — GBP details (2 credits, REST API recommended)
  3. citation_audit — NAP consistency (50 credits)
  4. review_velocity — review health (6 credits)
  5. keyword_opportunities — keyword strategy (4 credits)
  6. competitor_gap — competitive landscape (10 credits)

What it can do on your machine

Read from SKILL.md and the folder at commit 405ce20. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • mcp.localseodata.com
    • localseodata.com
    • aceplumbing.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Localseodata Tool loads about 4.1k tokens when it runs. Until then it costs about 133 tokens; SKILL.md has 1,718 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~133
When it runs · the whole SKILL.md, loaded when a task matches
~4.1k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from garrettjsmith/localseoskills at commit 405ce20, republished under its MIT licence (© garrettjsmith). 1,718 words, ~4,116 tokens.

Download SKILL.mdSave it as .claude/skills/localseodata-tool/SKILL.md (or your agent's skills folder).
name
localseodata-tool
description
When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence. This is the DEFAULT data tool for LocalSEOSkills. Trigger on any data request before considering other tools. Also trigger on "LocalSEOData," "LSD," "run an audit," "check my rankings," "pull reviews," "citation check," "keyword opportunities," "AI visibility," or "geogrid scan."
metadata.version
1.0.0
metadata.author
Garrett Smith

LocalSEOData Tool

You have direct access to LocalSEOData via MCP. This is the default data source for LocalSEOSkills. Check here first before routing to other tools.

MCP Server: https://mcp.localseodata.com/mcp Docs: https://localseodata.com/docs

When to Use LocalSEOData vs Other Tools

LocalSEOData covers most local SEO data needs in one place. Only use other tools when LocalSEOData genuinely can't do the job.

You NeedLocalSEODataUse Instead
Local pack rankings✅ local_pack—
Full SERP with all features✅ organic_serp—
Google Maps results✅ maps—
Local Finder results✅ local_finder—
Geogrid ranking scan✅ geogrid_scanLocal Falcon for trends, campaigns, Falcon Guard
Business profile data✅ business_profileREST API recommended (MCP support coming)
Google reviews✅ google_reviews—
Multi-platform reviews✅ multi_platform_reviews—
Review velocity trends✅ review_velocity—
Citation audit (NAP consistency)✅ citation_audit—
Full local SEO audit✅ local_audit—
Reputation audit✅ reputation_audit—
Profile health check✅ profile_healthREST API recommended (MCP support coming)
On-page SEO audit✅ page_auditScreaming Frog for site-wide crawls
Competitor gap analysis✅ competitor_gap—
Keyword opportunities✅ keyword_opportunities—
Keyword suggestions✅ keyword_suggestions—
Related keywords✅ related_keywords—
Search volume data✅ search_volumekeyword_suggestions also includes volume
Keyword trends✅ keyword_trends—
Keywords a site ranks for✅ keywords_for_site—
Backlink summary✅ backlink_summaryAhrefs for deep backlink analysis
Backlink gap analysis✅ backlink_gapAhrefs for detailed link profiles
AI Overview detection✅ ai_overview—
AI Mode response✅ ai_mode—
AI mentions across platforms✅ ai_mentions—
AI visibility scoring✅ ai_visibility—
AI top cited sources✅ ai_top_sources—
AI top cited pages✅ ai_top_pages—
AI keyword-level data✅ ai_keyword_data—
Raw AI/LLM response for a prompt✅ ai_llm_response—
AI scraper (extract from AI results)✅ ai_scraper—
AI competitor comparison✅ ai_compare—
Local Services Ads data✅ local_services_adsLSA Spy for market-level tracking over time
Competitor ad intelligence✅ competitor_ads—
Business listings by category✅ business_listings—
Brand mentions✅ brand_mentions—
Q&A from GBP✅ qa (or business_qa)—
Local authority score✅ local_authority—
Ranking trends over time❌Local Falcon trend reports
GBP change monitoring❌Local Falcon (Falcon Guard)
Recurring scan campaigns❌Local Falcon campaigns
Deep backlink analysis (anchors, lost links)❌Ahrefs
Full site crawl (technical SEO)❌Screaming Frog
Actual traffic/conversion data❌Google Analytics
Real click/impression data❌Google Search Console
LSA market tracking over time❌LSA Spy

Location Resolution

Many endpoints require a location string. The required format varies by endpoint type:

Endpoint GroupFormatExample
SERP (organic_serp, local_pack, local_services_ads)Canonical from location_search"Syracuse, NY,New York,United States"
Maps, Local FinderCanonical from location_search"Syracuse, NY,New York,United States"
Business (profile, health, reviews, qa, listings)City, ST"Buffalo, NY"
Reviews (multi_platform, velocity, reputation_audit)City, ST"Buffalo, NY"
Competitor (competitor_gap, competitor_ads)City, ST"Buffalo, NY"
Citation auditFull address + phone (not location param)address: "123 Main St, Buffalo, NY 14201"
Keyword endpoints (US)City, Full State Name"Syracuse, New York"
Keyword endpoints (Canada)City, Province Abbreviation"Port Colborne, ON"
AI endpoints (keyword-data, visibility, mentions)City, Full State Name"Syracuse, New York"
Local audit, local authorityCity, ST"Buffalo, NY"
Geogrid scanCity, ST"Buffalo, NY"
Business listingsCity, ST"Buffalo, NY"
Brand mentionsBusiness name only (no location)business_name: "Ace Plumbing"

Note: The API now normalizes US state and Canadian province abbreviations automatically (e.g. "NY" to "New York", "ON" to "Ontario"). Both "Buffalo, NY" and "Buffalo, New York" should work for all endpoints.

  • Use location_search first to resolve the exact location name (free, 0 credits, GET not POST)
  • For Maps/Local Finder: use the canonical name field from location_search exactly (commas, no spaces after commas)
  • For keyword/AI endpoints: "City, State" format works (abbreviations are expanded server-side)

Core Workflows

Full Local SEO Audit (One Call)

When: User says "audit this business," "check my local SEO," or "what's wrong with my rankings."

Use: local_audit

business_name: "Ace Plumbing"
location: "Buffalo, NY"

Returns local pack position, organic rankings, profile completeness, review velocity, and competitors in a single call. 50 credits.

This replaces manually combining data from 3-4 different tools.

Geogrid Ranking Scan

When: User wants to see how a business ranks across a geographic area.

Use: geogrid_scan

business: "Ace Plumbing"
keyword: "plumber near me"
location: "Buffalo, NY"
grid_size: "7x7"    # 5x5 (default), 7x7, or 9x9
radius_miles: 3     # default 3

This is an async operation — the tool polls until results are ready. Returns a rank grid, average rank, and coverage stats.

Credit costs: 5x5 = 50 credits, 7x7 = 98 credits, 9x9 = 162 credits. (Formula: grid points × 2.)

For interpretation: Load the geogrid-analysis strategy skill.

Limitations vs Local Falcon:

  • No trend reports (can't compare scans over time)
  • No campaigns (no recurring automated scans)
  • No Falcon Guard (no GBP change monitoring)
  • No AI platform scans (GAIO, ChatGPT, Gemini — use ai_visibility endpoints instead)

Use LocalSEOData geogrid for one-time scans and audits. Use Local Falcon for ongoing monitoring.

Business Profile Pull

When: Need GBP data for audit, optimization, or reporting.

Use: business_profile

business_name: "Ace Plumbing"
location: "Buffalo, NY"

Returns: name, rating, reviews, address, phone, website, hours, categories, attributes, photos count, description, verification status. 2 credits.

Note: For business_profile and profile_health, use the REST API directly. MCP support for these endpoints is in progress.

Review Intelligence

When: User wants review data, sentiment analysis, or velocity tracking.

Multiple endpoints depending on need:

NeedEndpointCredits
Read recent reviewsgoogle_reviews1 per 10 reviews
Reviews across platformsmulti_platform_reviews6
Review velocity over timereview_velocity6
Full reputation auditreputation_audit30

review_velocity is the most useful for ongoing clients — shows reviews/month, rating trend, reply rate, sentiment themes.

reputation_audit is the heavy hitter — reputation score, sentiment analysis, response rate, and recommendations. Use for new client onboarding or quarterly reviews.

Citation Audit

When: User wants to check NAP consistency across directories.

Use: citation_audit

business_name: "Ace Plumbing"
address: "123 Main St, Buffalo, NY 14201"
phone: "(716) 555-1234"

Checks 20 major directories (Yelp, BBB, Facebook, YellowPages, etc.). Returns consistency score and per-directory details. 50 credits.

Note: Requires all three fields (name, address, phone) for NAP comparison.

Keyword Research

When: User needs keyword ideas, search volumes, or competitive keyword data.

NeedEndpointCreditsNotes
Keyword ideas for a businesskeyword_opportunities4Best starting point
Suggestions from a seed keywordkeyword_suggestions2—
Search volume for specific keywordssearch_volume1Use keyword_suggestions instead (includes volume)
Related keywordsrelated_keywords2—
Keywords a domain ranks forkeywords_for_site3Use keyword_suggestions instead
Keyword trends over timekeyword_trends1—

Start with keyword_opportunities — it finds keywords based on the business category and location, shows difficulty, current rank, and volume. Best starting point for strategy.

Use keyword_suggestions when the user has a specific seed keyword and wants variations.

Competitor Analysis

When: User wants to understand competitive landscape.

Use: competitor_gap

business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"
competitors: 5

Returns ranking gaps, review count differences, and rating advantages vs competitors. 10 credits.

For ad intelligence: competitor_ads shows Google Ads campaigns from a competitor domain. 2 credits.

For backlink gaps: backlink_gap compares your domain against up to 5 competitors for link opportunities. 10 credits.

Show full SKILL.md (682 more words)Show less
AI Visibility

When: User asks about AI search visibility, AI Overviews, ChatGPT mentions, or GEO.

NeedEndpointCredits
Does Google show an AI Overview?ai_overview1
What does Google AI Mode say?ai_mode2
Where does AI mention this keyword?ai_mentions5
Which sites do AI models cite?ai_top_sources5
Which pages do AI models cite?ai_top_pages5
How visible is a domain across AI?ai_visibility10
Keyword-level AI dataai_keyword_data1
Raw LLM response for a promptai_llm_response8
Extract data from AI search resultsai_scraper3

Start with ai_overview to check if AIO exists for the keyword, then use ai_visibility for domain-level scoring across multiple keywords.

ai_llm_response lets you send a prompt directly to an LLM and see the response. Useful for checking what ChatGPT/Gemini says about a business.

prompt: "Best plumber in Buffalo NY"
platform: "chat_gpt"    # Options: chat_gpt, claude, gemini, perplexity

ai_keyword_data returns AI-specific metrics for keywords (uses keywords array, not singular).

keywords: ["plumber buffalo", "emergency plumber buffalo ny"]
location: "Buffalo, New York"

ai_compare compares AI visibility across domains. Requires domains (array of 2-5) and keywords (array of 1-10). May return sparse data for smaller businesses.

SERP Data

When: User wants to see what Google shows for a search.

NeedEndpointCredits
Full SERP (organic + local + ads + PAA + AIO)organic_serp1
Local pack onlylocal_pack1
Google Maps resultsmaps1
Local Finder resultslocal_finder1
Local Services Adslocal_services_ads1

organic_serp is the most complete — returns everything on the page in one call.

On-Page Audit

When: User wants to check a specific URL for SEO issues.

Use: page_audit

url: "https://aceplumbing.com/services/drain-cleaning"

Checks 50+ factors: title, meta, headings, images, Core Web Vitals, schema, mobile-friendliness. 4 credits.

For site-wide crawls across many pages, use Screaming Frog instead.

Local Authority Score

When: User wants a single score representing local search authority.

Use: local_authority

business_name: "Ace Plumbing"
location: "Buffalo, NY"
keyword: "plumber"

Returns 0-100 score with component breakdown (rankings, reviews, profile completeness, citations) and percentile ranking. 10 credits.

Great for client reporting and tracking improvement over time.


Credit Cost Reference

All costs verified against source code (credits.ts) on Apr 10, 2026.

EndpointCredits
ping0
location_search0 (GET)
local_pack1
organic_serp1
local_services_ads1
local_finder1
maps1
ai_overview1
keyword_trends1
qa / business_qa1
search_volume1 per 50 keywords (use keyword_suggestions)
ai_keyword_data1 per 50 keywords
google_reviews1 per 10 reviews
business_profile2
profile_health2
ai_mode2
keyword_suggestions2
related_keywords2
competitor_ads2
ai_scraper3
keywords_for_site3 (use keyword_suggestions)
brand_mentions3
page_audit4
keyword_opportunities4
backlink_summary5 (use Ahrefs for backlinks)
ai_mentions5
ai_top_sources5
ai_top_pages5
multi_platform_reviews6
review_velocity6
ai_llm_response8
ai_compare10
ai_visibility10
backlink_gap10
business_listings10 per 50 results
competitor_gap10
local_authority10
reputation_audit30
citation_audit50
local_audit50
geogrid_scan (5x5)50
geogrid_scan (7x7)98
geogrid_scan (9x9)162

Endpoint Notes

EndpointNote
search_volumeWorks via REST API. keyword_suggestions also returns volume data as an alternative
keywords_for_siteWorks via REST API
backlink_summaryREST path is /v1/backlinks/summary (not /v1/links/backlink-summary)
ai_compareRequires keywords (array), not keyword (string). May return sparse data for small businesses
business/reviewsWorks. Also aliased as google_reviews
citation_auditREST path is /v1/audit/citation (also /v1/audit/citation-consistency). Not /v1/citations/consistency
local_auditUses async job processing (submit + poll). MCP tool handles polling automatically

REST API vs MCP: For business profile endpoints (business_profile, profile_health), the REST API is recommended. MCP may add an invalid keyword parameter to these endpoints. Composite endpoints (local_audit, review_velocity, citation_audit, reputation_audit) work via both REST and MCP.


Combining Endpoints for Common Workflows

New Client Onboarding
  1. local_audit — overall picture (50 credits)
  2. business_profile — GBP details (2 credits, REST API recommended)
  3. citation_audit — NAP consistency (50 credits)
  4. review_velocity — review health (6 credits)
  5. keyword_opportunities — keyword strategy (4 credits)
  6. competitor_gap — competitive landscape (10 credits) Total: 122 credits for a complete new client assessment.
Monthly Report Data Pull
  1. local_pack for target keywords — ranking check (1 credit each)
  2. review_velocity — monthly review trends (6 credits)
  3. local_authority — authority score tracking (10 credits)
  4. ai_overview for target keywords — AI visibility check (1 credit each)
Quick Rank Check
  1. local_pack — who's in the 3-pack (1 credit) Done.
Prospecting / Sales Research
  1. business_profile — pull their GBP data (2 credits, REST API recommended)
  2. profile_health — find gaps to pitch on (2 credits, REST API recommended)
  3. google_reviews — review situation (1 credit) Total: 5 credits to build a pitch.

© garrettjsmith, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/localseodata-tool of garrettjsmith/localseoskills.

Open the folder on GitHubat commit 405ce20

Compare with similar skills

Localseodata Tool next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Localseodata Tool compared with similar skills
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Localseodata Tool this skillgarrettjsmith/localseoskills120—~4.1kAutomated safety check: PassMIT
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DataForSEO Live SEO DataAgriciDaniel/claude-seo19k—~4.4kAutomated safety check: PassMIT
SEONexus-JPF/note-companion870—~2.2kAutomated safety check: PassMIT
SEO Dataforseohashgraph-online/awesome-codex-plugins1.3k—~4.5kAutomated safety check: NotesMIT
Competitor GapRyze-AI-Adgent/open-seo-mcp-skills4.6k—~560Automated safety check: PassMIT

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Categories

Questions about Localseodata Tool

What does Localseodata Tool do?

When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor…. Localseodata Tool is an agent skill from garrettjsmith/localseoskills. When the user wants to pull local SEO data — SERP results, local pack rankings, business profile data, reviews, citations, audits, geogrid scans, keyword research, AI visibility, competitor analysis, or any local search intelligence.

When should I use Localseodata Tool?

Localseodata Tool fits situations like: wants to pull local SEO data — SERP results; local pack rankings; business profile data; keyword research.

How do I install Localseodata Tool in Claude Code?

Run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a claude-code`. Or copy the skill folder (skills/localseodata-tool in garrettjsmith/localseoskills) into .claude/skills/localseodata-tool in your project. Claude Code loads it when a task matches its description.

How do I install Localseodata Tool in Codex?

Run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a codex`. Or copy the skill folder (skills/localseodata-tool in garrettjsmith/localseoskills) into .agents/skills/localseodata-tool in your project. Codex loads it when a task matches its description.

Can I use Localseodata Tool in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add garrettjsmith/localseoskills --skill localseodata-tool -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/localseodata-tool, .gemini/skills/localseodata-tool, .github/skills/localseodata-tool and .opencode/skills/localseodata-tool in your project.

What does Localseodata Tool need to run?

SKILL.md names no scripts, command-line tools or credentials: Localseodata Tool is instructions for the agent only.

Does Localseodata Tool access the network?

SKILL.md names 3 domains. In commands or code: mcp.localseodata.com, localseodata.com and aceplumbing.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Localseodata Tool safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Localseodata Tool use?

Localseodata Tool is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Localseodata Tool use?

About 4.1k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Localseodata Tool?

Skills that share tags, products or a category with Localseodata Tool: SEO Dataforseo (AgriciDaniel/codex-seo, 797 stars), DataForSEO Live SEO Data (AgriciDaniel/claude-seo, 19k stars), SEO (Nexus-JPF/note-companion, 870 stars) and SEO Dataforseo (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Localseodata Tool?

garrettjsmith (a GitHub user) maintains it in garrettjsmith/localseoskills, which has 120 GitHub stars. The repository holds 38 skills in this directory. The repository was last updated on August 15, 2026.

Source: garrettjsmith/localseoskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.